stdface

CNN中的手写识别LeNet5实现，用python，进行了中文注释(CNN handwritten recognition LeNet5 implementation, using python, carried out in Chinese Notes)

说明：  基于粒子滤波的强大的跟踪算法,可以在背景变化情况子实现可靠的实时跟踪，并且配有相应的论文(particle filter)

本算法将进行人脸识别，首先进行人脸定位检测，然后根据数据库里给的标签进行人脸识别，将人脸的信息显示在人脸旁边。本算法能取得较好的效果。(The algorithm will perform face recognition, first face detection, and then according to the database to the label for face recognition, the face of the information displayed next to the face. The algorithm can achieve better results.)

双目视觉经验总结，希望后面的不要犯错误。(Binocular visual experience summary, make no mistake behind.)

采用协方差的方式计算相关系数，分析图片的相似性，然后对图像进行匹配(The covariance of the way of calculating the correlation coefficient, and analyze the image similarity, and then to do image matching )

5相位编组法实现纹理直线边缘的检测matlab程序代码。不同于hough变换。附带文字的原理讲解(The five-phase grouping texture straight edge detection ，matlab code. Different from the hough transform. explain with the accompanying text )

启动电脑外接USB摄像头， 完成的1-5数字手势识别(Start the computer to connect the USB camera to the 1-5 digital gesture recognition)

有关改良Canny算法的一些还算可以的文献(Improved Canny algorithm on some literature.)

实现人脸识别及分割，使用人脸进行RGB颜色提取，并分层提取特征信息。(Realize face recognition and segmentation, use face for RGB color extraction, and extract feature information hierarchically.)

说明：  image 数组 高速读写 不用指针(image array IO C#)